Aside

Contact

minh.chau@outlook.co.nz
+64-22-036-1978
Github profile
Personal website
Linkedin

Packages

Statistical Programming:
Experience with R
Exposure to SAS, SPSS, SQL
Web development: HTML, CSS
Machine learning: Python (Entry level)
Reporting: R Markdown, Shiny, Latex
Workflow: Github, Gitlab
MS Office: Excel, Power Point, Word

Key Skills

Experience with data wrangling and statistical analysing
Build and maintain professional work relationships
Fluent ability to create evidence-based reports
Strong understanding of qualitative and quantitative methodologies
Understanding of survey design and analysis
Familiar with time series forecasting and regression modelling

Main

Minh Chau

My career goal is to apply my knowledge in producing reliable and
insightful projects through the use of statistics and inform critical decision making. I currently seek a suitable job to enhance my statistical and programming skills, and contribute to New Zealand society.

Education

Master of Applied Statistics

Victoria University of Wellington

Wellington, NZ

03/2019 - 06/2020

Bachelor of Science in Statistics

Otago University

Dunedin, NZ

03/2015 - 06/2019

Work Experience

Research Assistant

Massey University Wellington

Wellington, NZ

  • Communicate with client clearly to fulfill requirements
  • Prepare and transform survey data for analysis purposes
  • Make informative graphs and tables to present key findings
  • Apply statistical methods to data to produce insightful interpretations that assist the client in making decisions

08/2020 - current

Sessional Assistant

Victoria University of Wellington

Wellington, NZ

  • Mark 100-level statistics assignments and projects
  • Attend to training and meetings
  • Enter assignment grades correctly and in accordance with the marking system’s guidelines

04/2020 - current

Intern/Data Analyst

Harmonic Analytics

Wellington, NZ

  • Wrangle and analyse time series data
  • Investigate and apply multiple predictive modelling methods to the data
  • Produce an interactive Shiny dashboard to present the methodologies and their relevant statistical results
  • Co-operate with supervisor and manager to deliver according to the client’s requirements

03/2020 - 06/2020

Projects

The following projects have helped me to develop my analytical, statistical writing and programming skills. They can be found in details on my personal website, https://minhchauvannguyen.github.io/.

Statistical Consulting Assignment

Key skills I learned

N/A

  • Construct the structure of a statistical report assignment
  • Undestand the importance of descriptive statistics and explanatory analysis in choosing the appropriate analytical procedure
  • Investigate the relationship between a categorical variable and a continuous variable using Generalised linear models (GLMs)

08/2019

Link

Kaggle Data Shiny Application

Key skills I learned

N/A

  • Analyse count data grouped by age and gender to produce relevant statistical measures
  • Perform Poisson regression to observe the relationship between variables
  • Build a Shiny application from scratch
  • Prepare and run a presentation to explain the purpose and describe the function of my Shiny app

09/2019

Link

Cluster Analysis Research Project

Key skills I learned

N/A

  • Practice researching methods basing on theoretical constructs and literature review under supervision
  • Research and perform cluster analysis of ordinal data
  • Evaluate and compare modes using information criteria
  • Generate a simulation study to access the consistency in the estimation of model parameters

02/2020

Link

Time Series Analysis Shiny Dashboard for Orange data

Key skills I learned

N/A

  • Construct time series models for forecasting purpose
  • Build a Shiny dashboard consisting of interactive graphs and tables
  • Track, save and update changes made to the dashboard using version control
  • Achieve thoroughness and emphasise details to ensure the dashboard is user-friendly and appeal to non-statistical audience

06/2020

Link

ICMR in patients under 18 years old follow-up report

Key skills I learned

N/A

  • Analyse data in the context of medical statistics
  • Review contingency table analysis in a multi-class setting
  • Construct a Bayesian regression model and a Random forest classification model in R
  • Interpret the outcomes to answer to the research question and discuss for future considerations

09/2020

Link

LANGUAGES
Vietnamese (native)

English (fluent)

REFERENCES

Shirley Wu

Operation Manager
Harmonic Analytics
shirley@harmonic.co.nz

Ploi Yibmantasiri

Data Scientist
Harmonic Analytics
ploi@harmonic.co.nz

This resume was made with the R package pagedown.